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OverviewFull Product DetailsAuthor: Humberto Jesús Corona Pampín , Reza ShirvanyPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 1st ed. 2023 Volume: 981 Weight: 0.371kg ISBN: 9783031221910ISBN 10: 3031221915 Pages: 119 Publication Date: 02 March 2023 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsRecommender Systems in Fashion and Retail: Proceedings of the FourthWorkshop at the Recommender Systems Conference (2022) Humberto Jes´us Corona Pamp´ın, Reza Shirvany 1. Identification of Fine-grained Fit Information from Customer Reviews in FashionYevgeniy Puzikov, Sonia Pecenakova, Rodrigo Weffer, Leonidas Lefakis,Reza Shirvany1.1 Introduction 1.2 Related Work1.3 Experiments 1.4 Conclusion References 2. Personalization through User Attributes for Transformer-based Sequential RecommendationElisabeth Fischer, Alexander Dallmann and Andreas Hotho2.1 Introduction 2.2 Related Work 2.3 Problem Setting2.4 User Attributes Personalization for Transformers 2.5 Datasets 2.6 Experiments 2.7 Conclusion References 3. Reusable Self-Attention-based Recommender System for Fashion Marjan Celikik, Jacek Wasilewski, Sahar Mbarek, Pablo Celayes, Pierre Gagliardi, Duy Pham, Nour Karessli, Ana Peleteiro Ramallo3.1 Introduction 3.2 RELATED WORK 3.3 ALGORITHM3.4 OFFLINE EVALUATION 3.5 ONLINE RESULTS 3.6 CONCLUSIONSReferences 4. Adversarial Attacks against Visually-aware Fashion Outfit Recommender Systems Matteo Attimonelli, Gianluca Amatulli, Leonardo Di Gioia, Daniele Malitesta, Yashar Deldjoo, Tommaso Di Noia4.1 Introduction and Related work 4.2 Visual attacks against fashion classifiers 4.3 Experimental setup 4.4 Results and discussion 4.5 Conclusions References 5. Contrastive Learning for Topic-Dependent Image Ranking Jihyeong Ko, Jisu Jeong and Kyumgmin Kim5.1 Introduction 5.2 Related Work 5.3 Method 5.4 Experiments 5.5 Conclusion References 6. Dataset for Learning Graph Representations to Predict Customer Returns in Fashion Retail Jamie McGowan, Elizabeth Guest, Ziyang Yan, Cong Zheng, Neha Patel, Mason Cusack, Charlie Donaldson, Sofie de Cnudde, Gabriel Facini and Fabon Dzogang6.1 Introduction 6.2 Data Description 6.3 Methodology 6.4 Experiment Results 6.5 Conclusion 7. End-to-End Image-Based Fashion Recommendation Shereen Elsayed, Lukas Brinkmeyer and Lars Schmidt-Thieme7.1 Introduction 7.2 Related work 7.3 Methodology 7.4 Experiments 7.5 Conclusion 7.6 Acknowledgements ReferencesReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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